Computing Architectures and Programming Methodologies for Heterogeneous High-Performance Computing and Embedded Applications

异构高性能计算和嵌入式应用的计算架构和编程方法

• 批准号: 203579-2012
• 负责人: Chow, Paul
• 金额: $ 3.06万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=514122
• 关键词: Computing; Architectures; Programming; Methodologies; Heterogeneous

Modern compilers and programming tools have made computers accessible to the experts in many domains so that they can develop their own applications. However, the need to use parallelism to get performance today adds significant programming challenges that are not easily understood by the average programmer. Moreover, programming is becoming even more difficult as we move to specialized architectures such as GPGPUs (General-Purpose Graphics Processing Units) and FPGAs (Field-Programmable Gate Arrays) to find more performance and better energy efficiency. Most domain experts do not have the expertise to make effective use of such computing technologies.

现代的编译器和编程工具使计算机能够被许多领域的专家使用，以便他们能够开发自己的应用程序。 然而，今天需要使用并行性来获得性能，这增加了普通程序员不容易理解的重大编程挑战。此外，随着我们转向GPGPU（通用图形处理单元）和FPGA（现场可编程门阵列）等专用架构以寻求更高的性能和更高的能效，编程变得更加困难。 大多数领域专家不具备有效利用这种计算技术的专业知识。